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Abstract Manually converting the information of objects existing in the ship safety plan into digital data requires significant effort and time. To overcome this problem, a technique is required for automatically extracting the location and information of the object in the plan. However, owing to the characteristics of the ship safety plan, there are frequent cases in which the detection target overlaps with noise (figure, text, etc.), which lowers
the detection accuracy. In this study, an object detection model based on a convolutional neural network is proposed to extract the number and location of objects effectively in a ship safety plan while incorporating noise. Among various deep learning models, suitable models for object detection in ship safety plans were compared and analyzed. In addition, an algorithm to generate the data necessary for training the object detection model was proposed. Subsequently, a specialized detection algorithm to rapidly process a large ship safety plan was proposed. The method proposed in this study was applied to 15 ship safety plans. Consequently, an average recall of 0.85 was achieved, confirming the effectiveness of the proposed method.
Publication Date 2022-02-15
Role Corresponding Author
Category SCI
Impact Factor 3.795

Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, Vol. 246, pp. 110587.1-15, 2022.02.15

https://doi.org/10.1016/j.oceaneng.2022.110587


List of Articles
번호 분류 제목 Publication Date
6 International Journal Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, “Ship Route Planning in Arctic Ocean Based on POLARIS”, Ocean Engineering, Vol. 234, pp. 109297.1-14, 2021.08.15 file 2021-08-15
5 International Journal Hye-Won Lee, Joo-Hyun Woo, Myung-Il Roh, Seung-Ho Ham, et al., "Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System", Journal of Marine Science and Technology (Taiwan) file 2021-09-03
4 International Journal Won-Jae Lee, Myung-Il Roh, Hye-Won Lee, Jisang Ha, Yeong-Min Cho, Nam-Sun Son, “Detection and Tracking for the Awareness of Surroundings of a Ship Based on Deep Learning”, Journal of Computational Design and Engineering, Vo. 8, No. 5 file 2021-10-01
3 International Journal Ki-Su Kim, Myung-Il Roh, Seung-Min Lee, "Quasi-static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load", Journal of Ship Production and Design, 2022.02.10 file 2022-02-10
» International Journal Min-Chul Kong, Myung-Il Roh, Ki-Su Kim, Jeongyoul Lee, Jongoh Kim, Gapheon Lee, "Object Detection Method for Ship Safety Plans Using Deep Learning", Ocean Engineering, 2022.02.15 file 2022-02-15
1 International Journal Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, "Automation of Crane Control for Block Lifting Based on Deep Reinforcement Learning", accepted for publication in Journal of Computational Design and Engineering, 2022.07.11 2022-07-11
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